Assumptions about climate are embedded in how we design and manage many of the systems and resources we rely on every day. Observed climate data and climate models are used to inform how we design our infrastructure to manage stormwater, when to plant our crops, how we design railways, bridges, and how we assess risk of infectious diseases, etc. But the climate of the past is no longer the best predictor of future climate. To better understand future climate risks, we need future climate models. To address this need, the State Legislature of Minnesota supported MCAP to generate future climate projection data and associated resources to support the use and application of these data.
Importantly, differentiating the impacts of climate change at a fine spatial scale is particularly important in Minnesota, where we see large south-to-north gradients in warming, have long-duration snow cover, large and small lakes and other complexity in our climate. In order to provide reasonable climate projections over Minnesota on the regional scale, we need information that captures these changes. This project will produce data at a 3-mile scale resolution for the entire state using sophisticated regional climate downscaling techniques.
Preliminary results from a recent statewide survey conducted by MCAP and the climate data workgroup under the State’s Resiliency and Adaptation Action Team, indicates a broad, cross-sectoral demand for these data and increased support for using these data in practice. Over 80% of respondents felt that fine scale climate projection data were very to somewhat important for carrying out their climate-related work. Anticipated applications of these data spans everything from agricultural decision-making and water resources management to infrastructure design and community engagement. In addition to high demand from State agency staff, researchers, non-profits and the private sector all have needs and applications for this critical climate information.
In addition, Dr. Stefan Liess showed in a recently published study that Minnesota could see up to 60 fewer days per year with snow on the ground by 2100. Hear more about the study from Dr. Liess's interview on Minnesota Public Radio. Continue reading about the Liess, et al. study.
This project will:
- Generate future climate data at a ~3-mile resolution through the year 2100 using the most recent global climate models (CMIP6). Using dynamical downscaling techniques, we will model variables such as precipitation, temperature, soil and lake temperature, etc.
- In partnership with U-Spatial, develop an interactive visualization of these climate model projections to help Minnesotans access and use these data in their climate adaptation planning and decision-making;
- Develop Extension programming, training, and other communication resources to help a range of end-users understand, use and apply these data.
Year 1 will focus on the model simulations and generating climate data, while year 2 will focus on developing tools, resources and Extension programming.
Minnesota Department of Commerce
Minnesota Corn Growers Association
Dahms, G.H., 2021: S.F. No. 19 – Commerce Energy Omnibus Budget Bill (Articles 3 – 8). URL.
Clark, S., et al., 2021: Climate Change Data For Minnesota: Understanding needs, uses and opportunities of climate information to help accelerate climate resilience efforts across the State. A report prepared for the State of Minnesota by the Dynamically Downscaled Climate Information Workgroup, the Minnesota Climate Adaptation Partnership and University of Minnesota Extension.
Cook, J., et al., 2013: Quantifying the consensus on anthropogenic global warming in the scientific literature. Environmental Research Letters. 8 024024. doi:10.1088/1748-9326/8/2/024024.
Liess, S., Twine, T. E., Snyder, P. K., Hutchison, W. D., Konar-Steenberg, G., Keeler, B. L., & Brauman, K. A. (2022). High-resolution Climate Projections over Minnesota for the 21st Century. Earth and Space Science, 9, e2021EA001893. https://doi.org/10.1029/2021EA001893
Notaro, M., D. Lorenz, C. Hoving, and M. Schummer, 2014: Twenty-First-Century Projections of Snowfall and Winter Severity across Central-Eastern North America. Journal of Climate, 27, 6526–6550. doi:https://doi.org/10.1175/JCLI-D-13-00520.1